Chromagrams
Column lunch
lunch playlist
Column evening
evening playlist
Introduction
hallo
Column 2 {data-width = 650}
Corpus
Sitting in a cafe or restaurant, music has a big influence on the atmosphere. Working in a cafe myself, I use a lot of spotify playlists. During the day it will be in the trend of ‘Coffee House’, in the evening more jazz and in the late hours a rock party. I want to find out what aspects of this music makes them more enjoyable on different parts of the day. For this I will use the playlists we play at my work and compare these with each other. This will start with a comparison of genre, which will be very different. The first thing that stood out to me is that one of the playlists contains a whole album, which is not like the other playlists.
Column 2 {data-width = 350}
Volgende
Visualisation
Column 1
First graph
For the first plot, I put danceability and energy on the axes. I thought these were two good features to see the difference between the parts of the day.
Visualisation 2 (hw week 10)
For these visualizations I chose two songs that are very representative for the playlists. I think you see very good that in the evening playlist, there is a lot more variation in the keys used. This could be explained by the lunch playlist being more calm and equal, so also the difference in keys being more equal.
lunch
lunch playlist
evening playlist
Evening playlist
Dendogram
This dendogram is made with the lunch playlist. In the dendogram you can see that there are several clusters to be found. However, due to the large amount of data it is not very readable yet. I am thinking of reducing the number of songs used. Maybe by creating a playlist with songs from both lunch as evening playlists. In this way, I could maybe use the dendogram to see if based on features, the songs from the same playlists are clustered together.